Beta blockers may be protective in COVID-19; findings of a study to develop an interpretable machine learning model to assess COVID-19 disease severity in light of clinical findings, medication history, and patient comorbidities

Alaa Alahmadi^*
, Aisha Alansari
, Nawal Alsheikh
, Salam Alshammasi
, Mona Alshamery
, Rand Al-abdulmohsin
, Laila Al Rabia
, Fatimah Al Nass
, Manar Alghamdi
, Sarah Almustafa
, Zainab Aljamea
, Sawsan Kurdi
, Md Ashraful Islam
, Dania Hussein

^*Corresponding author for this work

King Fahd University of Petroleum and Minerals
Imam Abdulrahman Bin Faisal University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

1 results
- Title
- Date(ascending)

Reports from Imam Abdulrahman Bin Faisal University Advance Knowledge in COVID-19 (Beta blockers may be protective in COVID-19; findings of a study to develop an interpretable machine learning model to assess COVID-19 disease severity in light ...)
Kurdi, S., Hussein, D. & Alahmadi, A.
20/09/23
1 item of Media coverage
Press/Media